Aggregation‐disaggregation properties of a stochastic rainfall model
1994; Wiley; Volume: 30; Issue: 12 Linguagem: Inglês
10.1029/94wr02026
ISSN1944-7973
AutoresZhiquan Bo, Shafiqul Islam, Elfatih A. B. Eltahir,
Tópico(s)Complex Systems and Time Series Analysis
ResumoA statistical approach based on the modified Bartlett‐Lewis rectangular pulses model is presented to disaggregate rainfall statistics from daily data. Six model parameters are estimated from 24‐ and 48‐hour accumulated rainfall data. Based on these estimated parameters, in addition to reproducing 24‐ and 48‐hour statistics, the model is shown to infer 1‐, 2‐, 6‐, and 12‐hour historical statistics satisfactorily. An upper limit for disaggregation scale (about 2 days) for this model has been identified. This characteristic behavior of the model is related to the power law dependence of the power spectrum for timescales smaller than 2 days. A detailed comparison between observed and modeled statistics of rainfall data is presented for two rain gages, one from central Italy and the other from the midwestern United States.
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